Missing audio segment reconstruction based on sparse representation with power spectrogram.
Yuma TanakaTakahiro OgawaMiki HaseyamaPublished in: GCCE (2014)
Keyphrases
- sparse representation
- compressed sensing
- reconstruction error
- compressive sensing
- signal processing
- sparse reconstruction
- dictionary learning
- sparse coding
- learned dictionary
- image classification
- face recognition
- random projections
- image reconstruction
- single image super resolution
- sparsity constraints
- image patches
- joint optimization
- image super resolution
- missing data
- dimensionality reduction
- high dimensional data
- piecewise smooth
- regularized least squares
- negative matrix factorization
- sparse approximations
- sparse learning
- reconstructed image
- sparse coefficients
- test images
- three dimensional
- machine learning
- range images
- image representation
- object detection
- pattern recognition
- image processing